Exploring Distributed Tensorflow Tensorflow Dev Summit 2018
Exploring Distributed Tensorflow Tensorflow Dev Summit 2018 reveals several interesting facts.
- Magenta explores the role of ML in the process of creating art and music. This involves developing new deep learning and ...
- Brennan Saeta walks through how to optimize training speed of your models on modern accelerators (GPUs and TPUs).
- Generating input data, running
- This talk demonstrates how to perform
- Derek Murray discusses tf.data, the recommended API for building input pipelines in
In-Depth Information on Distributed Tensorflow Tensorflow Dev Summit 2018
Igor Saprykin offers a way to train models on one machine and multiple GPUs and introduces an API that is foundational for ... TensorFlow Andrew Gasparovic and Jeremiah Harmsen dicuss TF Hub, a new library built to foster the publication, discovery, and ... Sarah Sirajuddin and Andrew Selle discuss
Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around
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